Abstract: Artificial intelligence is increasingly applied in the field of mechanical fault diagnosis, achieving remarkable success in various industrial applications. Intelligent fault diagnosis ...

This chapter contains sections titled: ...

Abstract: Channel prediction is an effective approach for reducing the feedback or estimation overhead in massive multi-input multi-output (m-MIMO) systems. However, existing channel prediction ...

Abstract: Human-Robot Interaction: A Survey presents a unified treatment of HRI-related issues, identifies key themes, and discusses challenge problems that are likely to shape the field in the near ...

Abstract: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex ...

Abstract: Satellite communication offers the prospect of service continuity over uncovered and under-covered areas, service ubiquity, and service scalability. However, several challenges must first be ...

Abstract: The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer ...

Abstract: The rapid evolution of wireless technologies and the growing complexity of network infrastructures necessitate a paradigm shift in how communication networks are designed, configured, and ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=4 ...

Abstract: Galliumnitride (GaN) high electron mobility transistor (HEMT) and silicon (Si) Metal-Oxide semiconductor field effect transistor (MOSFET) power devices exhibit greatly reduced conduction ...

Abstract: Land surface temperature (LST) is a key factor in monitoring and improving thermal environments. However, conventional LST retrieval algorithms have not sufficiently accounted for the cavity ...

Abstract: Meeting the demand for prompt yet accurate diagnosis remains a major challenge in intelligent healthcare, particularly under conditions involving emergencies or rare medical cases with ...